Assess whether a shadow system must be decommissioned this quarter (e3035d)

Situation

Generative-AI acceptable-use policy draft arrived with a journalist asking if the hiring tool is biased for chief AI officer. That is a AI Governance Bias and Training Data decision on a shadow system must in a manufacturer piloting shop-floor copilot tools.

Decision

Chief AI officer in a manufacturer piloting shop-floor copilot tools must choose Policy or governance breach / Model defect / Dual failure / Hold for the missing fact using generative-AI acceptable-use policy draft after a journalist asking if the hiring tool is biased.

Hypotheses to test

• The population in generative-AI acceptable-use policy draft is the one a journalist asking if the hiring tool is biased named, so Policy or governance breach follows for this Bias and Training Data file.
• The population in generative-AI acceptable-use policy draft is adjacent only to a journalist asking if the hiring tool is biased; Model defect is the honest AI Governance call.
• A manufacturer piloting shop-floor copilot tools already contained a journalist asking if the hiring tool is biased before generative-AI acceptable-use policy draft arrived; no new Bias and Training Data path.
• Provenance on generative-AI acceptable-use policy draft after a journalist asking if the hiring tool is biased is broken; do not pick Policy or governance breach or Model defect yet.

Analysis required

• Check intended purpose and inventory status against EU AI Act / exam-readiness language after a journalist asking if the hiring tool is biased.
• Map the approved-use case to the system a shadow system must would bind.
• Check intended purpose and inventory status against EU AI Act / exam-readiness language after a journalist asking if the hiring tool is biased.
• For this AI Governance Bias and Training Data file, read generative-AI acceptable-use policy draft against a journalist asking if the hiring tool is biased and write the one fact that would move a shadow system must for chief AI officer.

Recommendation

Choose Policy or governance breach / Model defect / Dual failure / Hold for the missing fact on this AI Governance / Bias and Training Data packet (generative-AI acceptable-use policy draft after a journalist asking if the hiring tool is biased). If generative-AI acceptable-use policy draft cannot force a AI Governance label under Bias and Training Data, stop. If generative-AI acceptable-use policy draft after a journalist asking if the hiring tool is biased cannot support Policy or governance breach versus Model defect on this AI Governance Bias and Training Data close, chief AI officer must leave the classification unresolved and name the missing control or provenance fact.

Command returns

• Bottom-line AI Governance option on a shadow system must, then the evidence in generative-AI acceptable-use policy draft, then the action for chief AI officer
• Hypothesis scorecard against generative-AI acceptable-use policy draft: supported / rejected / untestable
• Regulatory or exam hook Bias and Training Data would cite
• Bias and Training Data finding in generative-AI acceptable-use policy draft that a second reviewer can re-perform